Linear Programming for Profit Maximization of Agricultural Stock

dc.contributor.authorJacob Rebeccal
dc.contributor.authorNyor Ngutor
dc.contributor.authorKhadeejah James Audu
dc.date.accessioned2025-04-25T17:49:14Z
dc.date.issued2024-02-18
dc.descriptionA Conference Proceeding
dc.description.abstractThis paper discusses a few common issues that are specific to agricultural investing, such as the challenge of choosing which stocks to buy in order to maximize returns. The linear programming model was applied to ten (10) agricultural stocks, and the simplex approach was used as the numerical technique to calculate the best possible outcome. The TORA programmer was used to verify the best option, and the findings indicated that not every item should be invested order to maximize profit.
dc.description.sponsorshipSelf Funding
dc.identifier.citationJacob Rebecca, Nyor Ngutor & Khadeejah James Audu. (2024). Linear Programming for Profit Maximization of Agricultural Stock. Proceedings of International Conference on Mathematical Modelling Optimization and Analysis of Disease Dynamics (ICMMOADD).
dc.identifier.issnnil
dc.identifier.urihttp://repository.futminna.edu.ng:4000/handle/123456789/1070
dc.language.isoen
dc.publisherMaths Model Research Group, FUT, Minna, Nigeria
dc.subjectagricultural stock
dc.subjectlinear programming (LP)
dc.subjectmathematical programming
dc.subjectprofit maximization
dc.subjectsensitivity analysis
dc.subjectsimplex method.
dc.titleLinear Programming for Profit Maximization of Agricultural Stock
dc.typeArticle

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